The LED(Light Emitting Diode) features low power, long-lifetime and mercuryfree, because the LED supplied 90% of the power is converted into light. It compared with incandescent lamp converted into light only 10% of the supplied power is high energy efficiency and lifetime is more than 10 times. So it is green growth policy has been focused solely in terms of energy demand in the sector and is expanding into this policy dissemination of LED lighting. In addition the importance of improving the quality of the light was emphasized. And now increasing demand for customized system lighting reflected the environmental change and human sensitivity. And the source research about system lighting of light's environment and sensibility and applied a variety of industry and human living environment blending LED and IT(Information Technology) is necessary. In particular, housing, office etc, it is a situation that requires the development of sensibility design guidelines that target the area is the creation of great demand of the LED system lighting. In order to solve this problem in this paper, we proposed a control system of the correlated color temperature in response to changes in temperature and humidity and illuminance by using a multi-sensors in the same space and the purpose is providing a optimized sensitivity illumination environment for designing the RGB LED sensibility lighting controller by applying the fuzzy control with robust control characteristics for the nonlinear system, liner time-varying system. Therefore this paper analyzes the lighting environment and electrical characteristics and light source characteristics of LED lighting and the SMPS(Switching Mode Power Supply) for constant current control and the correlated color temperature variable system for the intelligent control was designed and implemented for the optimized output of sensibility lighting. The specific research methods and the scope of the study of this paper is as follows. First, the research data is collected the study of effect of color temperature of the light on the human physiology and the study of the effect of color temperature of lighting on the psychology of human beings through previous studies for necessity sensibility lighting and is examined the validity of the design and implementation of RGB LED lighting sensitivity control system using artificial intelligence algorithm of multi-sensor-based. And theoretical studies are needed for a light and color temperature of lighting and considered light source characteristics and electrical properties for the RGB LED emotional lighting. In this study the RGB LED sensitivity lighting control system using a multi-sensor designed and implemented and the proposed fuzzy control algorithm is to assess its applicability. Therefore theoretical consideration of the fuzzy control system of artificial intelligence algorithms are required and proposed the method of fuzzy inference control using the fuzzy control system.
In order to apply a fuzzy control algorithm which was proposed to the system and to evaluate its applicability, the experiment on real-time sensibility lighting control system and the performance evaluation experiments on artificial intelligence emotional lighting control system applying proposed algorithm were performed and compared and analyzed for the results. As a result, the intelligent emotional lighting control system had high flexibility more than the real-time sensitive lighting control system in experimental environment and the intelligent sensibility lighting control system can be confirmed that it was more excellent performance because it had outputs of a large number of color temperature than outputs of the real-time sensitive lighting control system.